Pandas Profiling Report

Dataset statistics

Number of variables	22
Number of observations	13167
Missing cells	66800
Missing cells (%)	23.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.2 MiB
Average record size in memory	176.0 B

Variable types

Categorical	10
DateTime	2
Numeric	10

Warnings

`UniqueFireIdentifier` has a high cardinality: 13139 distinct values	High cardinality
`IncidentName` has a high cardinality: 11591 distinct values	High cardinality
`POOCounty` has a high cardinality: 1068 distinct values	High cardinality
`key` has a high cardinality: 11146 distinct values	High cardinality
`DailyAcres` is highly correlated with `EstimatedCostToDate`	High correlation
`EstimatedCostToDate` is highly correlated with `DailyAcres`	High correlation
`DailyAcres` is highly correlated with `Final Fire Acre Quantity`	High correlation
`Final Fire Acre Quantity` is highly correlated with `DailyAcres`	High correlation
`DailyAcres` is highly correlated with `Final Fire Acre Quantity`	High correlation
`Final Fire Acre Quantity` is highly correlated with `DailyAcres`	High correlation
`EstimatedCostToDate` is highly correlated with `DailyAcres`	High correlation
`FireMgmtComplexity` is highly correlated with `POOState` and 1 other fields	High correlation
`POOState` is highly correlated with `FireMgmtComplexity` and 4 other fields	High correlation
`PredominantFuelGroup` is highly correlated with `POOState`	High correlation
`POOLandownerKind` is highly correlated with `POOState` and 1 other fields	High correlation
`FireDiscoveryMonth` is highly correlated with `POOState` and 1 other fields	High correlation
`total_str_threatened` is highly correlated with `total_str_damaged`	High correlation
`FireDiscoveryYear` is highly correlated with `POOLandownerKind` and 1 other fields	High correlation
`total_str_damaged` is highly correlated with `total_str_threatened`	High correlation
`DailyAcres` is highly correlated with `EstimatedCostToDate`	High correlation
`FireCause` is highly correlated with `POOState` and 2 other fields	High correlation
`IncidentTypeCategory` is highly correlated with `FireMgmtComplexity`	High correlation
`FireMgmtComplexity` is highly correlated with `IncidentTypeCategory`	High correlation
`PredominantFuelGroup` is highly correlated with `IncidentTypeCategory`	High correlation
`IncidentTypeCategory` is highly correlated with `FireMgmtComplexity` and 1 other fields	High correlation
`FireCause` has 800 (6.1%) missing values	Missing
`FireMgmtComplexity` has 2028 (15.4%) missing values	Missing
`FireToDate` has 1988 (15.1%) missing values	Missing
`POOLandownerKind` has 5630 (42.8%) missing values	Missing
`PredominantFuelGroup` has 11678 (88.7%) missing values	Missing
`Number Injuries` has 8530 (64.8%) missing values	Missing
`Number Fatalities` has 8530 (64.8%) missing values	Missing
`Final Fire Acre Quantity` has 8530 (64.8%) missing values	Missing
`total_str_damaged` has 8530 (64.8%) missing values	Missing
`total_str_threatened` has 8530 (64.8%) missing values	Missing
`TotalDays` has 1988 (15.1%) missing values	Missing
`EstimatedCostToDate` is highly skewed (γ1 = 26.88381527)	Skewed
`Number Fatalities` is highly skewed (γ1 = 66.68326854)	Skewed
`total_str_damaged` is highly skewed (γ1 = 46.40339685)	Skewed
`total_str_threatened` is highly skewed (γ1 = 47.04408982)	Skewed
`UniqueFireIdentifier` is uniformly distributed	Uniform
`IncidentName` is uniformly distributed	Uniform
`key` is uniformly distributed	Uniform
`EstimatedCostToDate` has 1590 (12.1%) zeros	Zeros
`Number Injuries` has 4447 (33.8%) zeros	Zeros
`Number Fatalities` has 4610 (35.0%) zeros	Zeros
`total_str_damaged` has 3777 (28.7%) zeros	Zeros
`total_str_threatened` has 3019 (22.9%) zeros	Zeros
`TotalDays` has 2439 (18.5%) zeros	Zeros

Reproduction

Analysis started	2022-06-05 15:41:29.279003
Analysis finished	2022-06-05 15:42:00.714780
Duration	31.44 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

UniqueFireIdentifier
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	13139
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Memory size	103.0 KiB

2017-MSMSS-004192	3
2014-WAOLF-000073	2
2014-WAOWF-000356	2
2015-FLFLS-2015020032	2
2014-AZKNF-000582	2
Other values (13134)	13156

Length

Max length	22
Median length	17
Mean length	17.3403205
Min length	17

Characters and Unicode

Total characters	228320
Distinct characters	45
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13112 ?
Unique (%)	99.6%

Sample

1st row	2020-TXTXS-200317
2nd row	2016-FLFLS-2016120122
3rd row	2014-LASBR-000015
4th row	2018-TXTXS-000298
5th row	2016-CAKRN-032270

Common Values

Value	Count	Frequency (%)
2017-MSMSS-004192	3	< 0.1%
2014-WAOLF-000073	2	< 0.1%
2014-WAOWF-000356	2	< 0.1%
2015-FLFLS-2015020032	2	< 0.1%
2014-AZKNF-000582	2	< 0.1%
2014-ORDEF-000318	2	< 0.1%
2014-UTSLD-000531	2	< 0.1%
2015-OKNEU-015-30171	2	< 0.1%
2017-TNTNS-100005	2	< 0.1%
2017-ARARS-0026D8	2	< 0.1%
Other values (13129)	13146	99.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2017-msmss-004192	3	< 0.1%
2015-mspri-scd	3	< 0.1%
2015-okecu-20037a	2	< 0.1%
2014-orwif-140274	2	< 0.1%
2015-okneu-015-30171	2	< 0.1%
2017-arars-0026d8	2	< 0.1%
2017-tntns-100005	2	< 0.1%
2014-ordef-000318	2	< 0.1%
2015-flfls-2015020032	2	< 0.1%
2014-azknf-000582	2	< 0.1%
Other values (13134)	13152	99.8%

Most occurring characters

Value	Count	Frequency (%)
0	48698	21.3%
-	26844	11.8%
2	24078	10.5%
1	22572	9.9%
S	8019	3.5%
A	7338	3.2%
5	7012	3.1%
6	6668	2.9%
7	5895	2.6%
4	5702	2.5%
Other values (35)	65494	28.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	135187	59.2%
Uppercase Letter	66268	29.0%
Dash Punctuation	26844	11.8%
Other Punctuation	7	< 0.1%
Space Separator	7	< 0.1%
Lowercase Letter	6	< 0.1%
Connector Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	8019	12.1%
A	7338	11.1%
F	5456	8.2%
K	4486	6.8%
O	4042	6.1%
M	3732	5.6%
N	3690	5.6%
C	3679	5.6%
D	3554	5.4%
T	3443	5.2%
Other values (16)	18829	28.4%

Decimal Number

Value	Count	Frequency (%)
0	48698	36.0%
2	24078	17.8%
1	22572	16.7%
5	7012	5.2%
6	6668	4.9%
7	5895	4.4%
4	5702	4.2%
8	5144	3.8%
3	4933	3.6%
9	4485	3.3%

Lowercase Letter

Value	Count	Frequency (%)
e	2	33.3%
m	1	16.7%
p	1	16.7%
r	1	16.7%
x	1	16.7%

Dash Punctuation

Value	Count	Frequency (%)
-	26844	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Other Punctuation

Value	Count	Frequency (%)
#	7	100.0%

Space Separator

Value	Count	Frequency (%)
	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	162046	71.0%
Latin	66274	29.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	8019	12.1%
A	7338	11.1%
F	5456	8.2%
K	4486	6.8%
O	4042	6.1%
M	3732	5.6%
N	3690	5.6%
C	3679	5.6%
D	3554	5.4%
T	3443	5.2%
Other values (21)	18835	28.4%

Common

Value	Count	Frequency (%)
0	48698	30.1%
-	26844	16.6%
2	24078	14.9%
1	22572	13.9%
5	7012	4.3%
6	6668	4.1%
7	5895	3.6%
4	5702	3.5%
8	5144	3.2%
3	4933	3.0%
Other values (4)	4500	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	228320	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	48698	21.3%
-	26844	11.8%
2	24078	10.5%
1	22572	9.9%
S	8019	3.5%
A	7338	3.2%
5	7012	3.1%
6	6668	2.9%
7	5895	2.6%
4	5702	2.5%
Other values (35)	65494	28.7%

IncidentName
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	11591
Distinct (%)	88.0%
Missing	0
Missing (%)	0.0%
Memory size	103.0 KiB

Willow	13
Bear Creek	13
Cottonwood	10
North Fork	9
WALKER	9
Other values (11586)	13113

Length

Max length	50
Median length	10
Mean length	10.33196628
Min length	2

Characters and Unicode

Total characters	136041
Distinct characters	74
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10592 ?
Unique (%)	80.4%

Sample

1st row	Park
2nd row	Quincy
3rd row	MALLARD FIRE
4th row	Arrington Ranch
5th row	RANGE

Common Values

Value	Count	Frequency (%)
Willow	13	0.1%
Bear Creek	13	0.1%
Cottonwood	10	0.1%
North Fork	9	0.1%
WALKER	9	0.1%
Rock Creek	9	0.1%
Powerline	9	0.1%
Willow Creek	8	0.1%
Goat	8	0.1%
Dry Creek	8	0.1%
Other values (11581)	13071	99.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
creek	1255	5.2%
fire	857	3.5%
road	617	2.5%
rd	382	1.6%
2	295	1.2%
river	276	1.1%
lake	236	1.0%
mountain	235	1.0%
complex	210	0.9%
ridge	165	0.7%
Other values (7254)	19741	81.3%

Most occurring characters

Value	Count	Frequency (%)
	11449	8.4%
e	10052	7.4%
a	6676	4.9%
r	6585	4.8%
o	6054	4.5%
i	5416	4.0%
n	5043	3.7%
R	4899	3.6%
l	4466	3.3%
E	4109	3.0%
Other values (64)	71292	52.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	69706	51.2%
Uppercase Letter	49776	36.6%
Space Separator	11449	8.4%
Decimal Number	4218	3.1%
Other Punctuation	390	0.3%
Dash Punctuation	184	0.1%
Open Punctuation	159	0.1%
Close Punctuation	159	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	4899	9.8%
E	4109	8.3%
C	4039	8.1%
A	3114	6.3%
L	3062	6.2%
S	2953	5.9%
O	2711	5.4%
T	2448	4.9%
N	2374	4.8%
B	2124	4.3%
Other values (16)	17943	36.0%

Lowercase Letter

Value	Count	Frequency (%)
e	10052	14.4%
a	6676	9.6%
r	6585	9.4%
o	6054	8.7%
i	5416	7.8%
n	5043	7.2%
l	4466	6.4%
t	3734	5.4%
k	2749	3.9%
d	2726	3.9%
Other values (16)	16205	23.2%

Decimal Number

Value	Count	Frequency (%)
2	772	18.3%
1	760	18.0%
0	552	13.1%
3	467	11.1%
4	378	9.0%
5	337	8.0%
6	285	6.8%
8	241	5.7%
7	237	5.6%
9	189	4.5%

Other Punctuation

Value	Count	Frequency (%)
.	164	42.1%
#	102	26.2%
'	29	7.4%
/	27	6.9%
,	24	6.2%
*	21	5.4%
&	19	4.9%
:	4	1.0%

Space Separator

Value	Count	Frequency (%)
	11449	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	184	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	159	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	159	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	119482	87.8%
Common	16559	12.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	10052	8.4%
a	6676	5.6%
r	6585	5.5%
o	6054	5.1%
i	5416	4.5%
n	5043	4.2%
R	4899	4.1%
l	4466	3.7%
E	4109	3.4%
C	4039	3.4%
Other values (42)	62143	52.0%

Common

Value	Count	Frequency (%)
	11449	69.1%
2	772	4.7%
1	760	4.6%
0	552	3.3%
3	467	2.8%
4	378	2.3%
5	337	2.0%
6	285	1.7%
8	241	1.5%
7	237	1.4%
Other values (12)	1081	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	136041	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	11449	8.4%
e	10052	7.4%
a	6676	4.9%
r	6585	4.8%
o	6054	4.5%
i	5416	4.0%
n	5043	3.7%
R	4899	3.6%
l	4466	3.3%
E	4109	3.0%
Other values (64)	71292	52.4%

FireDiscoveryDateTime
Date

Distinct	12788
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	103.0 KiB

Minimum	2014-04-08 21:00:00+00:00
Maximum	2022-03-07 20:15:00+00:00

Histogram

Histogram with fixed size bins (bins=50)

FireCause
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	800
Missing (%)	6.1%
Memory size	103.0 KiB

Human	5627
Natural	4571
Undetermined	1277
Unknown	892

Length

Max length	12
Median length	7
Mean length	6.606290936
Min length	5

Characters and Unicode

Total characters	81700
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Human
2nd row	Human
3rd row	Natural
4th row	Human
5th row	Undetermined

Common Values

Value	Count	Frequency (%)
Human	5627	42.7%
Natural	4571	34.7%
Undetermined	1277	9.7%
Unknown	892	6.8%
(Missing)	800	6.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
human	5627	45.5%
natural	4571	37.0%
undetermined	1277	10.3%
unknown	892	7.2%

Most occurring characters

Value	Count	Frequency (%)
a	14769	18.1%
n	10857	13.3%
u	10198	12.5%
m	6904	8.5%
t	5848	7.2%
r	5848	7.2%
H	5627	6.9%
N	4571	5.6%
l	4571	5.6%
e	3831	4.7%
Other values (6)	8676	10.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	69333	84.9%
Uppercase Letter	12367	15.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	14769	21.3%
n	10857	15.7%
u	10198	14.7%
m	6904	10.0%
t	5848	8.4%
r	5848	8.4%
l	4571	6.6%
e	3831	5.5%
d	2554	3.7%
i	1277	1.8%
Other values (3)	2676	3.9%

Uppercase Letter

Value	Count	Frequency (%)
H	5627	45.5%
N	4571	37.0%
U	2169	17.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	81700	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	14769	18.1%
n	10857	13.3%
u	10198	12.5%
m	6904	8.5%
t	5848	7.2%
r	5848	7.2%
H	5627	6.9%
N	4571	5.6%
l	4571	5.6%
e	3831	4.7%
Other values (6)	8676	10.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	81700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	14769	18.1%
n	10857	13.3%
u	10198	12.5%
m	6904	8.5%
t	5848	7.2%
r	5848	7.2%
H	5627	6.9%
N	4571	5.6%
l	4571	5.6%
e	3831	4.7%
Other values (6)	8676	10.6%

DailyAcres
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4797
Distinct (%)	36.5%
Missing	32
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	4818.357033

Minimum	0
Maximum	1032648
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	103.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0.3
Q1	73.6
median	339
Q3	1313
95-th percentile	18098.69
Maximum	1032648
Range	1032648
Interquartile range (IQR)	1239.4

Descriptive statistics

Standard deviation	26533.5314
Coefficient of variation (CV)	5.506759091
Kurtosis	463.2699652
Mean	4818.357033
Median Absolute Deviation (MAD)	334
Skewness	17.41998985
Sum	63289119.63
Variance	704028288.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.1	479	3.6%
1	402	3.1%
2	221	1.7%
0.5	135	1.0%
5	125	0.9%
3	125	0.9%
300	117	0.9%
100	113	0.9%
150	112	0.9%
200	93	0.7%
Other values (4787)	11213	85.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3	< 0.1%
0.03	1	< 0.1%
0.1	479	3.6%
0.15	1	< 0.1%
0.2	57	0.4%
0.21	1	< 0.1%
0.22	1	< 0.1%
0.23	1	< 0.1%
0.25	55	0.4%
0.3	81	0.6%

Value	Count	Frequency (%)
1032648	1	< 0.1%
963309	1	< 0.1%
779292	1	< 0.1%
662700	1	< 0.1%
505273	1	< 0.1%
498043	1	< 0.1%
459123	1	< 0.1%
421613	1	< 0.1%
416821	1	< 0.1%
413717	1	< 0.1%

EstimatedCostToDate
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	3568
Distinct (%)	27.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1622129.277

Minimum	0
Maximum	637428216
Zeros	1590
Zeros (%)	12.1%
Negative	0
Negative (%)	0.0%
Memory size	103.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1000
median	12600
Q3	200000
95-th percentile	5352170
Maximum	637428216
Range	637428216
Interquartile range (IQR)	199000

Descriptive statistics

Standard deviation	12448184.17
Coefficient of variation (CV)	7.673977867
Kurtosis	1057.087954
Mean	1622129.277
Median Absolute Deviation (MAD)	12600
Skewness	26.88381527
Sum	2.135857619 × 10¹⁰
Variance	1.549572891 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1590	12.1%
1000	494	3.8%
5000	369	2.8%
10000	354	2.7%
1	319	2.4%
2000	250	1.9%
50000	225	1.7%
15000	207	1.6%
100000	202	1.5%
20000	199	1.5%
Other values (3558)	8958	68.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1590	12.1%
0.01	2	< 0.1%
1	319	2.4%
1.67	1	< 0.1%
1.82	6	< 0.1%
2	26	0.2%
2.5	1	< 0.1%
3	2	< 0.1%
10	5	< 0.1%
12.4	1	< 0.1%

Value	Count	Frequency (%)
637428216	1	< 0.1%
542539952	1	< 0.1%
494401420	1	< 0.1%
271147512	1	< 0.1%
262500000	1	< 0.1%
230000000	1	< 0.1%
201000000	2	< 0.1%
200000000	1	< 0.1%
193000000	1	< 0.1%
191526284	1	< 0.1%

FireMgmtComplexity
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	0.1%
Missing	2028
Missing (%)	15.4%
Memory size	103.0 KiB

Type 4 Incident	5231
Type 5 Incident	3725
Type 3 Incident	1782
Type 2 Incident	246
Type 1 Incident	154

Length

Max length	22
Median length	15
Mean length	15.00062842
Min length	15

Characters and Unicode

Total characters	167092
Distinct characters	21
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Type 5 Incident
2nd row	Type 5 Incident
3rd row	Type 5 Incident
4th row	Type 3 Incident
5th row	Type 4 Incident

Common Values

Value	Count	Frequency (%)
Type 4 Incident	5231	39.7%
Type 5 Incident	3725	28.3%
Type 3 Incident	1782	13.5%
Type 2 Incident	246	1.9%
Type 1 Incident	154	1.2%
Type 2 Prescribed Fire	1	< 0.1%
(Missing)	2028	15.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
type	11139	33.3%
incident	11138	33.3%
4	5231	15.7%
5	3725	11.1%
3	1782	5.3%
2	247	0.7%
1	154	0.5%
prescribed	1	< 0.1%
fire	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	22280	13.3%
	22279	13.3%
n	22276	13.3%
i	11140	6.7%
T	11139	6.7%
y	11139	6.7%
p	11139	6.7%
c	11139	6.7%
d	11139	6.7%
I	11138	6.7%
Other values (11)	22284	13.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	111395	66.7%
Uppercase Letter	22279	13.3%
Space Separator	22279	13.3%
Decimal Number	11139	6.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	22280	20.0%
n	22276	20.0%
i	11140	10.0%
y	11139	10.0%
p	11139	10.0%
c	11139	10.0%
d	11139	10.0%
t	11138	10.0%
r	3	< 0.1%
s	1	< 0.1%

Decimal Number

Value	Count	Frequency (%)
4	5231	47.0%
5	3725	33.4%
3	1782	16.0%
2	247	2.2%
1	154	1.4%

Uppercase Letter

Value	Count	Frequency (%)
T	11139	50.0%
I	11138	50.0%
P	1	< 0.1%
F	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	22279	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	133674	80.0%
Common	33418	20.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	22280	16.7%
n	22276	16.7%
i	11140	8.3%
T	11139	8.3%
y	11139	8.3%
p	11139	8.3%
c	11139	8.3%
d	11139	8.3%
I	11138	8.3%
t	11138	8.3%
Other values (5)	7	< 0.1%

Common

Value	Count	Frequency (%)
	22279	66.7%
4	5231	15.7%
5	3725	11.1%
3	1782	5.3%
2	247	0.7%
1	154	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	167092	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	22280	13.3%
	22279	13.3%
n	22276	13.3%
i	11140	6.7%
T	11139	6.7%
y	11139	6.7%
p	11139	6.7%
c	11139	6.7%
d	11139	6.7%
I	11138	6.7%
Other values (11)	22284	13.3%

FireToDate
Date

MISSING

Distinct	8997
Distinct (%)	80.5%
Missing	1988
Missing (%)	15.1%
Memory size	103.0 KiB

Minimum	2014-10-20 17:15:00+00:00
Maximum	2022-03-07 20:15:00+00:00

Histogram

Histogram with fixed size bins (bins=50)

POOCounty
Categorical

HIGH CARDINALITY

Distinct	1068
Distinct (%)	8.1%
Missing	3
Missing (%)	< 0.1%
Memory size	103.0 KiB

Yukon-Koyukuk	627
Idaho	274
Osage	221
Fairbanks North Star	147
Lincoln	137
Other values (1063)	11758

Length

Max length	28
Median length	7
Mean length	7.527119417
Min length	3

Characters and Unicode

Total characters	99087
Distinct characters	55
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	223 ?
Unique (%)	1.7%

Sample

1st row	Shackelford
2nd row	Brevard
3rd row	Cameron
4th row	Carson
5th row	Kern

Common Values

Value	Count	Frequency (%)
Yukon-Koyukuk	627	4.8%
Idaho	274	2.1%
Osage	221	1.7%
Fairbanks North Star	147	1.1%
Lincoln	137	1.0%
Southeast Fairbanks	133	1.0%
Latimer	127	1.0%
Bethel	124	0.9%
Polk	123	0.9%
Adair	121	0.9%
Other values (1058)	11130	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
yukon-koyukuk	627	4.3%
fairbanks	280	1.9%
idaho	274	1.9%
osage	221	1.5%
north	160	1.1%
star	147	1.0%
san	140	0.9%
lincoln	137	0.9%
southeast	133	0.9%
latimer	127	0.9%
Other values (1091)	12491	84.8%

Most occurring characters

Value	Count	Frequency (%)
a	9999	10.1%
e	8872	9.0%
o	8452	8.5%
n	6680	6.7%
r	5911	6.0%
i	4782	4.8%
l	4756	4.8%
t	4422	4.5%
s	4101	4.1%
u	4027	4.1%
Other values (45)	37085	37.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	81225	82.0%
Uppercase Letter	15554	15.7%
Space Separator	1573	1.6%
Dash Punctuation	713	0.7%
Other Punctuation	22	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	9999	12.3%
e	8872	10.9%
o	8452	10.4%
n	6680	8.2%
r	5911	7.3%
i	4782	5.9%
l	4756	5.9%
t	4422	5.4%
s	4101	5.0%
u	4027	5.0%
Other values (17)	19223	23.7%

Uppercase Letter

Value	Count	Frequency (%)
C	1563	10.0%
S	1474	9.5%
M	1089	7.0%
L	1041	6.7%
P	1021	6.6%
B	1009	6.5%
K	933	6.0%
Y	798	5.1%
O	649	4.2%
F	641	4.1%
Other values (15)	5336	34.3%

Space Separator

Value	Count	Frequency (%)
	1573	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	713	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	22	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	96779	97.7%
Common	2308	2.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	9999	10.3%
e	8872	9.2%
o	8452	8.7%
n	6680	6.9%
r	5911	6.1%
i	4782	4.9%
l	4756	4.9%
t	4422	4.6%
s	4101	4.2%
u	4027	4.2%
Other values (42)	34777	35.9%

Common

Value	Count	Frequency (%)
	1573	68.2%
-	713	30.9%
.	22	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	99085	> 99.9%
Latin 1 Sup	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	9999	10.1%
e	8872	9.0%
o	8452	8.5%
n	6680	6.7%
r	5911	6.0%
i	4782	4.8%
l	4756	4.8%
t	4422	4.5%
s	4101	4.1%
u	4027	4.1%
Other values (44)	37083	37.4%

Latin 1 Sup

Value	Count	Frequency (%)
ñ	2	100.0%

POOState
Categorical

HIGH CORRELATION

Distinct	49
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	103.0 KiB

US-OK	1648
US-AK	1359
US-FL	976
US-CA	926
US-ID	905
Other values (44)	7353

Length

Max length	6
Median length	5
Mean length	5.000075947
Min length	5

Characters and Unicode

Total characters	65836
Distinct characters	25
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	US-TX
2nd row	US-FL
3rd row	US-LA
4th row	US-TX
5th row	US-CA

Common Values

Value	Count	Frequency (%)
US-OK	1648	12.5%
US-AK	1359	10.3%
US-FL	976	7.4%
US-CA	926	7.0%
US-ID	905	6.9%
US-MT	716	5.4%
US-TX	613	4.7%
US-AZ	544	4.1%
US-MS	529	4.0%
US-OR	519	3.9%
Other values (39)	4432	33.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
us-ok	1648	12.5%
us-ak	1359	10.3%
us-fl	976	7.4%
us-ca	926	7.0%
us-id	905	6.9%
us-mt	716	5.4%
us-tx	613	4.7%
us-az	544	4.1%
us-ms	529	4.0%
us-or	519	3.9%
Other values (39)	4432	33.7%

Most occurring characters

Value	Count	Frequency (%)
S	14024	21.3%
U	13548	20.6%
-	13167	20.0%
A	4179	6.3%
K	3468	5.3%
O	2624	4.0%
T	1855	2.8%
M	1811	2.8%
C	1593	2.4%
L	1273	1.9%
Other values (15)	8294	12.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	52669	80.0%
Dash Punctuation	13167	20.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	14024	26.6%
U	13548	25.7%
A	4179	7.9%
K	3468	6.6%
O	2624	5.0%
T	1855	3.5%
M	1811	3.4%
C	1593	3.0%
L	1273	2.4%
N	1197	2.3%
Other values (14)	7097	13.5%

Dash Punctuation

Value	Count	Frequency (%)
-	13167	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	52669	80.0%
Common	13167	20.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	14024	26.6%
U	13548	25.7%
A	4179	7.9%
K	3468	6.6%
O	2624	5.0%
T	1855	3.5%
M	1811	3.4%
C	1593	3.0%
L	1273	2.4%
N	1197	2.3%
Other values (14)	7097	13.5%

Common

Value	Count	Frequency (%)
-	13167	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	65836	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	14024	21.3%
U	13548	20.6%
-	13167	20.0%
A	4179	6.3%
K	3468	5.3%
O	2624	4.0%
T	1855	2.8%
M	1811	2.8%
C	1593	2.4%
L	1273	1.9%
Other values (15)	8294	12.6%

POOLandownerKind
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.1%
Missing	5630
Missing (%)	42.8%
Memory size	103.0 KiB

Federal	5057
Private	1681
Other	793
#	6

Length

Max length	7
Median length	7
Mean length	6.784795011
Min length	1

Characters and Unicode

Total characters	51137
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Private
2nd row	Federal
3rd row	Private
4th row	Federal
5th row	Federal

Common Values

Value	Count	Frequency (%)
Federal	5057	38.4%
Private	1681	12.8%
Other	793	6.0%
#	6	< 0.1%
(Missing)	5630	42.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
federal	5057	67.1%
private	1681	22.3%
other	793	10.5%
	6	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	12588	24.6%
r	7531	14.7%
a	6738	13.2%
F	5057	9.9%
d	5057	9.9%
l	5057	9.9%
t	2474	4.8%
P	1681	3.3%
i	1681	3.3%
v	1681	3.3%
Other values (3)	1592	3.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	43600	85.3%
Uppercase Letter	7531	14.7%
Other Punctuation	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	12588	28.9%
r	7531	17.3%
a	6738	15.5%
d	5057	11.6%
l	5057	11.6%
t	2474	5.7%
i	1681	3.9%
v	1681	3.9%
h	793	1.8%

Uppercase Letter

Value	Count	Frequency (%)
F	5057	67.1%
P	1681	22.3%
O	793	10.5%

Other Punctuation

Value	Count	Frequency (%)
#	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	51131	> 99.9%
Common	6	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	12588	24.6%
r	7531	14.7%
a	6738	13.2%
F	5057	9.9%
d	5057	9.9%
l	5057	9.9%
t	2474	4.8%
P	1681	3.3%
i	1681	3.3%
v	1681	3.3%
Other values (2)	1586	3.1%

Common

Value	Count	Frequency (%)
#	6	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	51137	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	12588	24.6%
r	7531	14.7%
a	6738	13.2%
F	5057	9.9%
d	5057	9.9%
l	5057	9.9%
t	2474	4.8%
P	1681	3.3%
i	1681	3.3%
v	1681	3.3%
Other values (3)	1592	3.1%

IncidentTypeCategory
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	103.0 KiB

WF	13048
CX	90
RX	29

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	26334
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	WF
2nd row	WF
3rd row	WF
4th row	WF
5th row	WF

Common Values

Value	Count	Frequency (%)
WF	13048	99.1%
CX	90	0.7%
RX	29	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
wf	13048	99.1%
cx	90	0.7%
rx	29	0.2%

Most occurring characters

Value	Count	Frequency (%)
W	13048	49.5%
F	13048	49.5%
X	119	0.5%
C	90	0.3%
R	29	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	26334	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
W	13048	49.5%
F	13048	49.5%
X	119	0.5%
C	90	0.3%
R	29	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26334	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
W	13048	49.5%
F	13048	49.5%
X	119	0.5%
C	90	0.3%
R	29	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26334	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
W	13048	49.5%
F	13048	49.5%
X	119	0.5%
C	90	0.3%
R	29	0.1%

PredominantFuelGroup
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.3%
Missing	11678
Missing (%)	88.7%
Memory size	103.0 KiB

Timber	676
Grass-Shrub	366
Grass	278
Brush	160
Slash	9

Length

Max length	11
Median length	6
Mean length	6.928811283
Min length	5

Characters and Unicode

Total characters	10317
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Brush
2nd row	Timber
3rd row	Timber
4th row	Grass-Shrub
5th row	Grass-Shrub

Common Values

Value	Count	Frequency (%)
Timber	676	5.1%
Grass-Shrub	366	2.8%
Grass	278	2.1%
Brush	160	1.2%
Slash	9	0.1%
(Missing)	11678	88.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
timber	676	45.4%
grass-shrub	366	24.6%
grass	278	18.7%
brush	160	10.7%
slash	9	0.6%

Most occurring characters

Value	Count	Frequency (%)
r	1846	17.9%
s	1457	14.1%
b	1042	10.1%
T	676	6.6%
i	676	6.6%
m	676	6.6%
e	676	6.6%
a	653	6.3%
G	644	6.2%
h	535	5.2%
Other values (5)	1436	13.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8096	78.5%
Uppercase Letter	1855	18.0%
Dash Punctuation	366	3.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	1846	22.8%
s	1457	18.0%
b	1042	12.9%
i	676	8.3%
m	676	8.3%
e	676	8.3%
a	653	8.1%
h	535	6.6%
u	526	6.5%
l	9	0.1%

Uppercase Letter

Value	Count	Frequency (%)
T	676	36.4%
G	644	34.7%
S	375	20.2%
B	160	8.6%

Dash Punctuation

Value	Count	Frequency (%)
-	366	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9951	96.5%
Common	366	3.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	1846	18.6%
s	1457	14.6%
b	1042	10.5%
T	676	6.8%
i	676	6.8%
m	676	6.8%
e	676	6.8%
a	653	6.6%
G	644	6.5%
h	535	5.4%
Other values (4)	1070	10.8%

Common

Value	Count	Frequency (%)
-	366	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10317	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	1846	17.9%
s	1457	14.1%
b	1042	10.1%
T	676	6.6%
i	676	6.6%
m	676	6.6%
e	676	6.6%
a	653	6.3%
G	644	6.2%
h	535	5.2%
Other values (5)	1436	13.9%

FireDiscoveryYear
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2017.510747

Minimum	2014
Maximum	2022
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	103.0 KiB

Quantile statistics

Minimum	2014
5-th percentile	2014
Q1	2016
median	2017
Q3	2019
95-th percentile	2021
Maximum	2022
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.19887404
Coefficient of variation (CV)	0.001089894586
Kurtosis	-1.026714932
Mean	2017.510747
Median Absolute Deviation (MAD)	2
Skewness	0.2790396247
Sum	26564564
Variance	4.835047042
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2016	2180	16.6%
2015	2138	16.2%
2017	2117	16.1%
2018	1616	12.3%
2020	1425	10.8%
2021	1400	10.6%
2019	1215	9.2%
2014	765	5.8%
2022	311	2.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2014	765	5.8%
2015	2138	16.2%
2016	2180	16.6%
2017	2117	16.1%
2018	1616	12.3%
2019	1215	9.2%
2020	1425	10.8%
2021	1400	10.6%
2022	311	2.4%

Value	Count	Frequency (%)
2022	311	2.4%
2021	1400	10.6%
2020	1425	10.8%
2019	1215	9.2%
2018	1616	12.3%
2017	2117	16.1%
2016	2180	16.6%
2015	2138	16.2%
2014	765	5.8%

FireDiscoveryMonth
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.205437837

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	103.0 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	4
median	7
Q3	8
95-th percentile	11
Maximum	12
Range	11
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.712617441
Coefficient of variation (CV)	0.4371355434
Kurtosis	-0.6788764469
Mean	6.205437837
Median Absolute Deviation (MAD)	2
Skewness	-0.05346843016
Sum	81707
Variance	7.358293381
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
7	2495	18.9%
8	2071	15.7%
6	1736	13.2%
3	1483	11.3%
4	985	7.5%
2	948	7.2%
9	791	6.0%
5	733	5.6%
11	668	5.1%
10	520	3.9%
Other values (2)	737	5.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	473	3.6%
2	948	7.2%
3	1483	11.3%
4	985	7.5%
5	733	5.6%
6	1736	13.2%
7	2495	18.9%
8	2071	15.7%
9	791	6.0%
10	520	3.9%

Value	Count	Frequency (%)
12	264	2.0%
11	668	5.1%
10	520	3.9%
9	791	6.0%
8	2071	15.7%
7	2495	18.9%
6	1736	13.2%
5	733	5.6%
4	985	7.5%
3	1483	11.3%

key
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	11146
Distinct (%)	84.7%
Missing	3
Missing (%)	< 0.1%
Memory size	103.0 KiB

2015-06-22AKYUKON-KOYUKUK	38
2016-07-15AKYUKON-KOYUKUK	30
2015-06-23AKYUKON-KOYUKUK	29
2015-06-20AKYUKON-KOYUKUK	21
2015-06-21AKYUKON-KOYUKUK	20
Other values (11141)	13026

Length

Max length	40
Median length	19
Mean length	19.52711942
Min length	15

Characters and Unicode

Total characters	257055
Distinct characters	40
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10043 ?
Unique (%)	76.3%

Sample

1st row	2020-07-21TXSHACKELFORD
2nd row	2016-03-09FLBREVARD
3rd row	2014-08-18LACAMERON
4th row	2018-03-23TXCARSON
5th row	2016-08-26CAKERN

Common Values

Value	Count	Frequency (%)
2015-06-22AKYUKON-KOYUKUK	38	0.3%
2016-07-15AKYUKON-KOYUKUK	30	0.2%
2015-06-23AKYUKON-KOYUKUK	29	0.2%
2015-06-20AKYUKON-KOYUKUK	21	0.2%
2015-06-21AKYUKON-KOYUKUK	20	0.2%
2015-08-11IDIDAHO	19	0.1%
2016-07-14AKBETHEL	18	0.1%
2015-06-24AKYUKON-KOYUKUK	17	0.1%
2015-07-31CATRINITY	17	0.1%
2016-06-26AKYUKON-KOYUKUK	17	0.1%
Other values (11136)	12938	98.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
north	147	1.0%
star	147	1.0%
fairbanks	133	0.9%
river	82	0.6%
flore	74	0.5%
arctic	74	0.5%
elder	53	0.4%
horn	52	0.4%
angeles	51	0.3%
2015-06-22akyukon-koyukuk	38	0.3%
Other values (11221)	13886	94.2%

Most occurring characters

Value	Count	Frequency (%)
0	31978	12.4%
-	27041	10.5%
2	23003	8.9%
1	20232	7.9%
A	14732	5.7%
O	11725	4.6%
E	9159	3.6%
N	8321	3.2%
K	8223	3.2%
R	7091	2.8%
Other values (30)	95550	37.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	123107	47.9%
Decimal Number	105312	41.0%
Dash Punctuation	27041	10.5%
Space Separator	1573	0.6%
Other Punctuation	22	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	14732	12.0%
O	11725	9.5%
E	9159	7.4%
N	8321	6.8%
K	8223	6.7%
R	7091	5.8%
L	7070	5.7%
T	6688	5.4%
S	6433	5.2%
I	6180	5.0%
Other values (17)	37485	30.4%

Decimal Number

Value	Count	Frequency (%)
0	31978	30.4%
2	23003	21.8%
1	20232	19.2%
7	5907	5.6%
6	5224	5.0%
8	5001	4.7%
5	4093	3.9%
3	3408	3.2%
9	3294	3.1%
4	3172	3.0%

Dash Punctuation

Value	Count	Frequency (%)
-	27041	100.0%

Space Separator

Value	Count	Frequency (%)
	1573	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	22	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	133948	52.1%
Latin	123107	47.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	14732	12.0%
O	11725	9.5%
E	9159	7.4%
N	8321	6.8%
K	8223	6.7%
R	7091	5.8%
L	7070	5.7%
T	6688	5.4%
S	6433	5.2%
I	6180	5.0%
Other values (17)	37485	30.4%

Common

Value	Count	Frequency (%)
0	31978	23.9%
-	27041	20.2%
2	23003	17.2%
1	20232	15.1%
7	5907	4.4%
6	5224	3.9%
8	5001	3.7%
5	4093	3.1%
3	3408	2.5%
9	3294	2.5%
Other values (3)	4767	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	257053	> 99.9%
Latin 1 Sup	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	31978	12.4%
-	27041	10.5%
2	23003	8.9%
1	20232	7.9%
A	14732	5.7%
O	11725	4.6%
E	9159	3.6%
N	8321	3.2%
K	8223	3.2%
R	7091	2.8%
Other values (29)	95548	37.2%

Latin 1 Sup

Value	Count	Frequency (%)
Ñ	2	100.0%

Number Injuries
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	13
Distinct (%)	0.3%
Missing	8530
Missing (%)	64.8%
Infinite	0
Infinite (%)	0.0%
Mean	0.1414707785

Minimum	0
Maximum	33
Zeros	4447
Zeros (%)	33.8%
Negative	0
Negative (%)	0.0%
Memory size	103.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	33
Range	33
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.465831368
Coefficient of variation (CV)	10.36137203
Kurtosis	347.319043
Mean	0.1414707785
Median Absolute Deviation (MAD)	0
Skewness	17.79779528
Sum	656
Variance	2.148661598
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
0	4447	33.8%
1	116	0.9%
2	23	0.2%
3	17	0.1%
6	8	0.1%
30	7	0.1%
5	5	< 0.1%
4	5	< 0.1%
7	4	< 0.1%
17	2	< 0.1%
Other values (3)	3	< 0.1%
(Missing)	8530	64.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4447	33.8%
1	116	0.9%
2	23	0.2%
3	17	0.1%
4	5	< 0.1%
5	5	< 0.1%
6	8	0.1%
7	4	< 0.1%
17	2	< 0.1%
19	1	< 0.1%

Value	Count	Frequency (%)
33	1	< 0.1%
30	7	0.1%
26	1	< 0.1%
19	1	< 0.1%
17	2	< 0.1%
7	4	< 0.1%
6	8	0.1%
5	5	< 0.1%
4	5	< 0.1%
3	17	0.1%

Number Fatalities
Real number (ℝ_≥0)

MISSING
SKEWED
ZEROS

Distinct	6
Distinct (%)	0.1%
Missing	8530
Missing (%)	64.8%
Infinite	0
Infinite (%)	0.0%
Mean	0.027172741

Minimum	0
Maximum	85
Zeros	4610
Zeros (%)	35.0%
Negative	0
Negative (%)	0.0%
Memory size	103.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	85
Range	85
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.257126041
Coefficient of variation (CV)	46.26423375
Kurtosis	4505.552823
Mean	0.027172741
Median Absolute Deviation (MAD)	0
Skewness	66.68326854
Sum	126
Variance	1.580365883
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	4610	35.0%
1	21	0.2%
3	2	< 0.1%
5	2	< 0.1%
4	1	< 0.1%
85	1	< 0.1%
(Missing)	8530	64.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4610	35.0%
1	21	0.2%
3	2	< 0.1%
4	1	< 0.1%
5	2	< 0.1%
85	1	< 0.1%

Value	Count	Frequency (%)
85	1	< 0.1%
5	2	< 0.1%
4	1	< 0.1%
3	2	< 0.1%
1	21	0.2%
0	4610	35.0%

Final Fire Acre Quantity
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2114
Distinct (%)	45.6%
Missing	8530
Missing (%)	64.8%
Infinite	0
Infinite (%)	0.0%
Mean	3448.160133

Minimum	0.001
Maximum	542246.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	103.0 KiB

Quantile statistics

Minimum	0.001
5-th percentile	0.1
Q1	4
median	175
Q3	750
95-th percentile	9637.3
Maximum	542246.3
Range	542246.299
Interquartile range (IQR)	746

Descriptive statistics

Standard deviation	23629.93714
Coefficient of variation (CV)	6.852911765
Kurtosis	317.7856194
Mean	3448.160133
Median Absolute Deviation (MAD)	174.58
Skewness	16.17049936
Sum	15989118.53
Variance	558373929.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.1	192	1.5%
1	164	1.2%
2	98	0.7%
0.01	63	0.5%
0.2	59	0.4%
3	59	0.4%
0.5	53	0.4%
5	42	0.3%
4	39	0.3%
0.25	37	0.3%
Other values (2104)	3831	29.1%
(Missing)	8530	64.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.001	8	0.1%
0.002	3	< 0.1%
0.007	1	< 0.1%
0.01	63	0.5%
0.02	14	0.1%
0.03	7	0.1%
0.04	7	0.1%
0.05	9	0.1%
0.06	3	< 0.1%
0.07115	1	< 0.1%

Value	Count	Frequency (%)
542246.3	4	< 0.1%
459123	2	< 0.1%
318156	1	< 0.1%
305655.1	2	< 0.1%
204947	1	< 0.1%
193566	1	< 0.1%
193058	1	< 0.1%
191125	1	< 0.1%
172000	4	< 0.1%
160074.347	1	< 0.1%

total_str_damaged
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	50
Distinct (%)	1.1%
Missing	8530
Missing (%)	64.8%
Infinite	0
Infinite (%)	0.0%
Mean	11.59564374

Minimum	0
Maximum	19998
Zeros	3777
Zeros (%)	28.7%
Negative	0
Negative (%)	0.0%
Memory size	103.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	19998
Range	19998
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	420.8244888
Coefficient of variation (CV)	36.29160213
Kurtosis	2195.931488
Mean	11.59564374
Median Absolute Deviation (MAD)	0
Skewness	46.40339685
Sum	53769
Variance	177093.2504
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3777	28.7%
1	481	3.7%
2	157	1.2%
3	63	0.5%
4	29	0.2%
6	12	0.1%
5	12	0.1%
8	8	0.1%
7	8	0.1%
12	7	0.1%
Other values (40)	83	0.6%
(Missing)	8530	64.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3777	28.7%
1	481	3.7%
2	157	1.2%
3	63	0.5%
4	29	0.2%
5	12	0.1%
6	12	0.1%
7	8	0.1%
8	8	0.1%
9	5	< 0.1%

Value	Count	Frequency (%)
19998	2	< 0.1%
3022	2	< 0.1%
1288	1	< 0.1%
1035	1	< 0.1%
575	1	< 0.1%
469	1	< 0.1%
203	1	< 0.1%
183	1	< 0.1%
142	1	< 0.1%
141	1	< 0.1%

total_str_threatened
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	157
Distinct (%)	3.4%
Missing	8530
Missing (%)	64.8%
Infinite	0
Infinite (%)	0.0%
Mean	115.5108907

Minimum	0
Maximum	175000
Zeros	3019
Zeros (%)	22.9%
Negative	0
Negative (%)	0.0%
Memory size	103.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	3
95-th percentile	50
Maximum	175000
Range	175000
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3002.998347
Coefficient of variation (CV)	25.99753435
Kurtosis	2561.204375
Mean	115.5108907
Median Absolute Deviation (MAD)	0
Skewness	47.04408982
Sum	535624
Variance	9017999.073
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3019	22.9%
1	282	2.1%
2	174	1.3%
3	144	1.1%
4	107	0.8%
5	100	0.8%
7	56	0.4%
6	56	0.4%
8	51	0.4%
10	51	0.4%
Other values (147)	597	4.5%
(Missing)	8530	64.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3019	22.9%
1	282	2.1%
2	174	1.3%
3	144	1.1%
4	107	0.8%
5	100	0.8%
6	56	0.4%
7	56	0.4%
8	51	0.4%
9	36	0.3%

Value	Count	Frequency (%)
175000	1	< 0.1%
60000	2	< 0.1%
37791	2	< 0.1%
19998	2	< 0.1%
11200	1	< 0.1%
9146	1	< 0.1%
7009	1	< 0.1%
5311	1	< 0.1%
4050	2	< 0.1%
3000	1	< 0.1%

TotalDays
Real number (ℝ)

MISSING
ZEROS

Distinct	157
Distinct (%)	1.4%
Missing	1988
Missing (%)	15.1%
Infinite	0
Infinite (%)	0.0%
Mean	10.88066911

Minimum	-35
Maximum	308
Zeros	2439
Zeros (%)	18.5%
Negative	11
Negative (%)	0.1%
Memory size	103.0 KiB

Quantile statistics

Minimum	-35
5-th percentile	0
Q1	1
median	3
Q3	10
95-th percentile	54
Maximum	308
Range	343
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	22.47739727
Coefficient of variation (CV)	2.065810204
Kurtosis	45.93079689
Mean	10.88066911
Median Absolute Deviation (MAD)	3
Skewness	5.240305141
Sum	121635
Variance	505.2333881
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2439	18.5%
1	1622	12.3%
2	1152	8.7%
3	815	6.2%
4	611	4.6%
5	483	3.7%
6	401	3.0%
7	338	2.6%
8	254	1.9%
9	236	1.8%
Other values (147)	2828	21.5%
(Missing)	1988	15.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-35	1	< 0.1%
-1	10	0.1%
0	2439	18.5%
1	1622	12.3%
2	1152	8.7%
3	815	6.2%
4	611	4.6%
5	483	3.7%
6	401	3.0%
7	338	2.6%

Value	Count	Frequency (%)
308	2	< 0.1%
307	1	< 0.1%
306	4	< 0.1%
305	1	< 0.1%
304	2	< 0.1%
301	1	< 0.1%
300	1	< 0.1%
291	1	< 0.1%
279	1	< 0.1%
272	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	UniqueFireIdentifier	IncidentName	FireDiscoveryDateTime	FireCause	DailyAcres	EstimatedCostToDate	FireMgmtComplexity	FireToDate	POOCounty	POOState	POOLandownerKind	IncidentTypeCategory	PredominantFuelGroup	FireDiscoveryYear	FireDiscoveryMonth	key	Number Injuries	Number Fatalities	Final Fire Acre Quantity	total_str_damaged	total_str_threatened	TotalDays
0	2020-TXTXS-200317	Park	2020-07-21 22:37:08+00:00	Human	512.00	1.0	Type 5 Incident	2020-07-22 12:00:00+00:00	Shackelford	US-TX	Private	WF	NaN	2020	7	2020-07-21TXSHACKELFORD	0.0	0.0	512.00	0.0	0.0	1.0
1	2016-FLFLS-2016120122	Quincy	2016-03-09 19:30:00+00:00	Human	45.00	0.0	Type 5 Incident	2016-03-18 12:59:59+00:00	Brevard	US-FL	NaN	WF	NaN	2016	3	2016-03-09FLBREVARD	0.0	0.0	45.00	0.0	0.0	9.0
2	2014-LASBR-000015	MALLARD FIRE	2014-08-18 23:00:00+00:00	Natural	1062.00	2000.0	NaN	NaT	Cameron	US-LA	Federal	WF	NaN	2014	8	2014-08-18LACAMERON	NaN	NaN	NaN	NaN	NaN	NaN
3	2018-TXTXS-000298	Arrington Ranch	2018-03-23 16:34:59+00:00	Human	400.00	1.0	Type 5 Incident	2018-03-24 12:59:59+00:00	Carson	US-TX	NaN	WF	NaN	2018	3	2018-03-23TXCARSON	0.0	0.0	2964.00	0.0	0.0	1.0
4	2016-CAKRN-032270	RANGE	2016-08-26 17:29:59+00:00	Undetermined	516.00	1450000.0	Type 3 Incident	2016-08-28 12:59:59+00:00	Kern	US-CA	NaN	WF	NaN	2016	8	2016-08-26CAKERN	0.0	0.0	600.04	0.0	0.0	2.0
5	2020-NVECFX-010145	Cedar	2020-07-19 23:00:00+00:00	Natural	5985.90	3900000.0	Type 4 Incident	2020-08-03 01:30:00+00:00	Elko	US-NV	Private	WF	Brush	2020	7	2020-07-19NVELKO	0.0	0.0	5986.90	0.0	0.0	15.0
6	2016-NMN4S-004024	Corazon Peak	2016-07-22 18:59:59+00:00	Natural	1300.00	5000.0	Type 4 Incident	2016-07-24 12:00:00+00:00	San Miguel	US-NM	NaN	WF	NaN	2016	7	2016-07-22NMSAN MIGUEL	0.0	0.0	1301.50	0.0	0.0	2.0
7	2017-NVWID-020138	Barrett Springs	2017-07-09 03:11:00+00:00	Natural	3295.82	500000.0	Type 4 Incident	2017-07-10 01:30:00+00:00	Humboldt	US-NV	Federal	WF	NaN	2017	7	2017-07-09NVHUMBOLDT	0.0	0.0	55.38	0.0	0.0	1.0
8	2016-AKUYD-000303	False Alarm 9	2016-06-25 20:21:58+00:00	Natural	0.10	0.0	NaN	NaT	Yukon-Koyukuk	US-AK	Federal	WF	NaN	2016	6	2016-06-25AKYUKON-KOYUKUK	NaN	NaN	NaN	NaN	NaN	NaN
9	2016-ALALF-160511	Turkey Day	2016-11-24 13:01:49+00:00	Human	22.00	50000.0	Type 4 Incident	2016-12-06 12:30:00+00:00	Cleburne	US-AL	Federal	WF	NaN	2016	11	2016-11-24ALCLEBURNE	0.0	0.0	2.00	1.0	8.0	12.0

Last rows

	UniqueFireIdentifier	IncidentName	FireDiscoveryDateTime	FireCause	DailyAcres	EstimatedCostToDate	FireMgmtComplexity	FireToDate	POOCounty	POOState	POOLandownerKind	IncidentTypeCategory	PredominantFuelGroup	FireDiscoveryYear	FireDiscoveryMonth	key	Number Injuries	Number Fatalities	Final Fire Acre Quantity	total_str_damaged	total_str_threatened	TotalDays
13157	2022-GAGAS-072203	Gillis Springs	2022-03-07 18:00:00+00:00	Human	NaN	1000.0	Type 5 Incident	2022-03-07 18:00:00+00:00	Treutlen	US-GA	Private	WF	NaN	2022	3	2022-03-07GATREUTLEN	NaN	NaN	NaN	NaN	NaN	0.0
13158	2022-MSMSS-224401085	Poplarville, 279 Bamacker Drive	2022-03-05 04:44:59+00:00	Undetermined	NaN	30000.0	Type 5 Incident	2022-03-05 05:00:00+00:00	Pearl River	US-MS	Private	WF	NaN	2022	3	2022-03-05MSPEARL RIVER	NaN	NaN	NaN	NaN	NaN	0.0
13159	2022-FLFLS-221400169	TRIPLE 2 POLK	2022-03-06 22:23:00+00:00	Undetermined	NaN	0.0	Type 5 Incident	2022-03-07 19:02:00+00:00	Polk	US-FL	Private	WF	NaN	2022	3	2022-03-06FLPOLK	NaN	NaN	NaN	NaN	NaN	1.0
13160	2022-MSMSS-224301065	Tylertown, 504-446 Mississippi 583	2022-03-04 23:45:00+00:00	Human	NaN	32600.0	Type 5 Incident	2022-03-05 00:00:00+00:00	Walthall	US-MS	Private	WF	NaN	2022	3	2022-03-04MSWALTHALL	NaN	NaN	NaN	NaN	NaN	1.0
13161	2022-FLFLS-000231	ROCK BLUFF*NOV* (39) 0231	2022-03-03 19:33:00+00:00	Human	NaN	0.0	Type 5 Incident	2022-03-07 19:05:00+00:00	Liberty	US-FL	Private	WF	NaN	2022	3	2022-03-03FLLIBERTY	NaN	NaN	NaN	NaN	NaN	4.0
13162	2022-NCNCS-220013	River Road #4	2022-03-07 17:00:00+00:00	Undetermined	NaN	45000.0	Type 4 Incident	2022-03-07 17:00:00+00:00	Craven	US-NC	Private	WF	NaN	2022	3	2022-03-07NCCRAVEN	NaN	NaN	NaN	NaN	NaN	0.0
13163	2022-GAGAS-082201	Chatham Osteen	2022-03-07 20:15:00+00:00	Human	NaN	11900.0	Type 4 Incident	2022-03-07 20:15:00+00:00	Chatham	US-GA	Private	WF	NaN	2022	3	2022-03-07GACHATHAM	NaN	NaN	NaN	NaN	NaN	0.0
13164	2022-KSWBX-000159	PawPaw Creek	2022-03-05 20:29:59+00:00	Human	1300.0	16000.0	Type 4 Incident	2022-03-05 20:29:59+00:00	Wabaunsee	US-KS	Private	WF	NaN	2022	3	2022-03-05KSWABAUNSEE	NaN	NaN	NaN	NaN	NaN	0.0
13165	2022-FLFLS-22020022	CHIPOLA COMPLEX	2022-03-04 16:44:59+00:00	NaN	15253.0	423348.0	Type 2 Incident	2022-03-07 11:45:00+00:00	Gulf	US-FL	Private	CX	NaN	2022	3	2022-03-04FLGULF	NaN	NaN	NaN	NaN	NaN	3.0
13166	2022-MSMSS-224200987	Moses Ln and Hwy 84	2022-03-04 18:30:00+00:00	Human	108.0	21600.0	Type 5 Incident	2022-03-04 18:45:00+00:00	Jefferson Davis	US-MS	Private	WF	NaN	2022	3	2022-03-04MSJEFFERSON DAVIS	NaN	NaN	NaN	NaN	NaN	0.0

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Lowercase Letter

Dash Punctuation

Connector Punctuation

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator